Validation of a Sports Betting Adaptation to the Problem Gambling Severity Index in Young Adults

dc.contributor.authorGraupensperger, Scott
dc.contributor.authorCalhoun, Brian
dc.date.accessioned2024-04-18T16:51:34Z
dc.date.available2024-04-18T16:51:34Z
dc.date.issued2024-04-18
dc.description.abstractBackground. Sports betting is a rapidly growing addictive behavior, especially among young adults. As such, there is a need for measuring problem sports betting behaviors and consequences separately from established generalized gambling measures. The present study provides support for a sports betting adaptation of the Problem Gambling Severity Index (PGSI-SB). Methods. We recruited a sample (N=221) of young adults aged 18-29 (Mage=24.4; 22% female; 13.2% Hispanic; 68.6% college degree) from 36 different US states. Eligibility criteria included ≥2 sports betting days in the past month. Results. Confirmatory factor analyses showed support for both a single and two-factor model with subscales for problematic behavior (e.g., dependence) and negative consequences. The PGSI-SB was strongly correlated with the original PGSI in terms of scale-level and item-level correlations (i.e., convergent validity). Aim 3 established predictive validity of the single-factor PGSI-SB via significant associations with three indices of past two-week sports betting: frequency, number of bets, and total amount wagered. Predictive validity for the two-factor model was impacted by multicollinearity, given high correlation between subscales. Conclusions. Findings establish the merits of a dedicated problem sports betting measure for young adults, which is a key step towards enhancing the quality and consistency of sports betting research.en_US
dc.identifier.urihttp://hdl.handle.net/1773/51284
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.titleValidation of a Sports Betting Adaptation to the Problem Gambling Severity Index in Young Adultsen_US
dc.typeArticleen_US

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